Face image processing method and apparatuse, electronic device, and storage medium

ABSTRACT

A face image processing method and apparatus, an electronic device, and a storage medium are provided. The method includes: obtaining face key points and a face deflection angle in a face image; determining a submalar triangle center in the face image according to the face key points and the face deflection angle; determining a submalar triangle region in the face image according to the face key points and the submalar triangle center; and performing color filling on the submalar triangle region. By means of the present disclosure, a submalar triangle region can be accurately positioned, and submalar triangle filling is performed based on the accurately positioned submalar triangle region, thereby obtaining a more natural filling effect.

CROSS-REFERENCE TO RELATED APPLICATIONS

This is a continuation of International Patent Application No.PCT/CN2018/117498 filed on Nov. 26, 2018, which claims priority toChinese Patent Application No. 201811141270.9 filed on Sep. 28, 2018.The disclosures of these applications are hereby incorporated byreference in their entirety.

BACKGROUND

Plump full submalar triangles soften the face and harmonize with theover-high parts of the cheekbones, making people more affable when theysmile. How to accurately perform submalar triangle filling on a faceimage so as to make the submalar triangles in the face image full andnatural is an urgent problem to be solved.

SUMMARY

The present disclosure relates to the field of computer visiontechnologies, and in particular, to face image processing methods andapparatus, electronic devices, and storage media.

Embodiments of the present disclosure provide technical solutions forface image processing.

According to a first aspect of the embodiments of the presentdisclosure, a face image processing method is provided, including:obtaining face key points and a face deflection angle in a face image;determining a submalar triangle center in the face image according tothe face key points and the face deflection angle; determining asubmalar triangle region in the face image according to the face keypoints and the submalar triangle center; and performing color filling onthe submalar triangle region.

According to a second aspect of the embodiments of the presentdisclosure, a face image processing method is provided, including: anobtaining module, configured to obtain face key points and a facedeflection angle in a face image; a first determining module, configuredto determine a submalar triangle center in the face image according tothe face key points and the face deflection angle; a second determiningmodule, configured to determine a submalar triangle region in the faceimage according to the face key points and the submalar triangle center;and a filling module, configured to perform color filling on thesubmalar triangle region.

According to a third aspect of the embodiments of the presentdisclosure, an electronic device is provided, including: a processor,and a memory for storing computer program executable by a processor;where the processor is configured to execute the computer program toimplement the foregoing face image processing method.

According to a fourth aspect of the embodiments of the presentdisclosure, a computer-readable storage medium is provided, havingcomputer program instructions stored thereon, where the computer programinstructions, when being executed by a processor, cause the processor toimplement the foregoing face image processing method.

The other features and aspects of the present disclosure can bedescribed more clearly according to the detailed descriptions of theexemplary embodiments in the accompanying drawings.

BRIEF DESCRIPTION OF DRAWINGS

The accompanying drawings included in the specification and constitutinga part of the specification illustrate the exemplary embodiments,features, and aspects of the present disclosure together with thespecification, and are used for explaining the principles of the presentdisclosure.

FIG. 1 is a schematic flowchart of a face image processing methodaccording to the embodiments of the present disclosure.

FIG. 2A is a schematic diagram of a face image before color filling isperformed on the submalar triangle region in a face image processingmethod according to the embodiments of the present disclosure.

FIG. 2B is a schematic diagram of a face image after color filling isperformed on the submalar triangle region in a face image processingmethod according to the embodiments of the present disclosure.

FIG. 3 is an exemplary schematic flowchart of operation S12 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 4 is an exemplary schematic flowchart of operation S13 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 5 is a schematic diagram of a submalar triangle outer contourcircle in a face image processing method according to the embodiments ofthe present disclosure.

FIG. 6 is an exemplary schematic flowchart of adjusting the submalartriangle outer contour circle by using a facial contour line in the faceimage to obtain the submalar triangle region in the face image in a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 7 is an exemplary schematic flowchart of operation S14 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 8 is a schematic diagram of operation S141 of a face imageprocessing method according to the embodiments of the presentdisclosure.

FIG. 9 is an exemplary schematic flowchart of operation S14 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 10 is an exemplary schematic flowchart of operation S145 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 11 is a schematic diagram of a submalar triangle center O, a firstreference point M1, a first pixel P2, a second target pixel P2′corresponding to the first pixel, and the radius R of a submalartriangle outer contour circle in a face image processing methodaccording to the embodiments of the present disclosure.

FIG. 12 is an exemplary schematic flowchart of operation S1452 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 13 is an exemplary schematic flowchart of operation S1453 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 14 is an exemplary schematic flowchart of operation S14 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 15 is an exemplary schematic flowchart of operation S149 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 16 is a schematic diagram of a submalar triangle center O, a secondreference point M2, a second pixel P3, a third target pixel P3′corresponding to the second pixel, and the radius R of a submalartriangle outer contour circle in a face image processing methodaccording to the embodiments of the present disclosure.

FIG. 17 is an exemplary schematic flowchart of operation S1492 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 18 is an exemplary schematic flowchart of operation S1493 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 19 is an exemplary schematic flowchart of operation S14 of a faceimage processing method according to the embodiments of the presentdisclosure.

FIG. 20 is a schematic structural diagram of a face image processingapparatus according to the embodiments of the present disclosure.

FIG. 21 is an exemplary schematic structural diagram of a face imageprocessing apparatus according to the embodiments of the presentdisclosure.

FIG. 22 is a schematic structural diagram of an electronic device 800according to an exemplary embodiment.

FIG. 23 is a schematic structural diagram of an electronic device 1900according to an exemplary embodiment.

DETAILED DESCRIPTION

The various exemplary embodiments, features, and aspects of the presentdisclosure are described below in detail with reference to theaccompanying drawings. The same signs in the accompanying drawingsrepresent elements having the same or similar functions. Although thevarious aspects of the embodiments are illustrated in the accompanyingdrawings, unless stated particularly, it is not required to draw theaccompanying drawings in proportion.

The special word “exemplary” here means “used as examples, embodiments,or descriptions”. Any “exemplary” embodiment given here is notnecessarily construed as being superior to or better than otherembodiments.

In addition, numerous details are given in the following detaileddescription for the purpose of better explaining the embodiments of thepresent disclosure. It should be understood by persons skilled in theart that the present disclosure can still be implemented even withoutsome of those details. In some of the examples, methods, means,elements, and circuits that are well known to persons skilled in the artare not described in detail so that the principle of the presentdisclosure becomes apparent.

FIG. 1 is a schematic flowchart of a face image processing methodaccording to the embodiments of the present disclosure. As shown in FIG.1, the method includes operations S11 to S14.

In operation S11, face key points and a face deflection angle in a faceimage are obtained.

In a possible implementation, the face key point may include at leastone of an eye key point, a nose key point, a mouth key point, a cheekkey point, a facial contour key point, or the like.

In a possible implementation, the face deflection angle may represent adeflection angle of the face with respect to the full frontal face. Forexample, if the face is a full frontal face, the face deflection angleis 0; if the face is turned to the left with respect to the full frontalface, the face deflection angle is equal to the angle between the faceturned and the full frontal face; and if the face is turned to the rightwith respect to the full frontal face, the absolute value of the facedeflection angle is equal to the angle between the face turned and thefull frontal face, and the face deflection angle is a negative number.

In operation S12, a submalar triangle center in the face image isdetermined according to the face key points and the face deflectionangle.

In a possible implementation, the submalar triangle center in the faceimage may be determined according to an eye key point, a nose key point,and a cheek key point in the face key points and the face deflectionangle.

In the embodiments of the present disclosure, the submalar trianglecenter in the face image is determined by using the face key points incombination with the face deflection angle. Thus, the accuracy of thedetermined submalar triangle center can be improved, thereby improvingthe accuracy of the determined submalar triangle region.

In the embodiments of the present disclosure, the submalar triangle mayalso be called risorius, and refers to inverted triangular tissuelocated two centimeters below the eye. When you smile or make a facialexpression, the inverted triangular tissue will swell slightly becauseof the compression from the facial muscles and look like a round andshiny apple, and is called the “submalar triangle”.

In operation S13, a submalar triangle region in the face image isdetermined according to the face key points and the submalar trianglecenter.

In the embodiments of the present disclosure, the submalar triangleregion in the face image may be determined according to the submalartriangle center and some of the face key points to reduce the amount ofcalculation for determining the submalar triangle region.

In operation S14, color filling is performed on the submalar triangleregion.

In a possible implementation, color filling may be performed on thesubmalar triangle region by one or both of a circular convex lensdeformation method and a circular liquefaction deformation method, so asto achieve the effects of making the submalar triangle full andaccentuating the contour line of the submalar triangle.

In some embodiments of the present disclosure, the operations S11 to S14may be executed by a processor by invoking a corresponding instructionstored in a memory, or executed by corresponding module run by theprocessor.

FIG. 2A is a schematic diagram of a face image before color filling isperformed on the submalar triangle region in a face image processingmethod according to the embodiments of the present disclosure. FIG. 2Bis a schematic diagram of a face image after color filling is performedon the submalar triangle region in a face image processing methodaccording to the embodiments of the present disclosure.

In the embodiments of the present disclosure, by obtaining face keypoints and a face deflection angle in a face image, determining asubmalar triangle center in the face image according to the face keypoints and the face deflection angle, determining a submalar triangleregion in the face image according to the face key points and thesubmalar triangle center, and performing color filling on the submalartriangle region, the submalar triangle region can be accuratelydetermined, and submalar triangle filling is performed based on theaccurately positioned submalar triangle region, thereby obtaining a morenatural filling effect.

FIG. 3 is an exemplary schematic flowchart of operation S12 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 3, the operation S12 may include thefollowing operations S121 and S122.

In operation S121, interpolation is performed on the face key points todetermine an estimated location of the submalar triangle center in theface image.

In the embodiments of the present disclosure, the submalar trianglecenter is generally located 2-3 centimeters below the eye. By performinginterpolation on the face key points, an estimated location of thesubmalar triangle center in the face image may be determined. Forexample, interpolation may be performed on an eye key point, a nose keypoint, and a cheek key point to obtain the estimated location of thesubmalar triangle center in the face image.

In operation S122, the estimated location of the submalar trianglecenter is adjusted according to the face deflection angle to obtain thesubmalar triangle center in the face image.

In the embodiments of the present disclosure, if the face deflectionangle is 0, the estimated location of the submalar triangle center isdirectly used as the submalar triangle center in the face image withoutadjusting the estimated location of the submalar triangle center. If theface deflection angle is not 0, the estimated location of the submalartriangle center is adjusted according to the face deflection angle toobtain the submalar triangle center in the face image.

FIG. 4 is an exemplary schematic flowchart of operation S13 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 4, operation S13 may include the followingoperations S131 to S133.

In operation S131, the face key points are connected to obtain a polygoncorresponding to the face key points.

In a possible implementation, some of facial contour key points, some ofnose key points, and some of eye key points in the face key points maybe connected to obtain a polygon corresponding to these face key points.Among them, the eye key point may be a key point at the lower eyelid.

In operation S132, a maximum circle centered on the submalar trianglecenter in the polygon is determined as a submalar triangle outer contourcircle in the face image.

In the embodiments of the present disclosure, a circle centered on thesubmalar triangle center is drawn with the polygon as the boundary toobtain the submalar triangle outer contour circle in the face image.

In some embodiments of the present disclosure, the operations S131 toS133 may be executed by a processor by invoking a correspondinginstruction stored in a memory, or executed by corresponding module runby the processor.

FIG. 5 is a schematic diagram of a submalar triangle outer contourcircle in a face image processing method according to the embodiments ofthe present disclosure. In the example shown in FIG. 5, submalartriangle outer contour circles in a face image include C1 and C2.

In operation S133, the submalar triangle region in the face image isdetermined according to the submalar triangle outer contour circle.

In a possible implementation, the determining the submalar triangleregion in the face image according to the submalar triangle outercontour circle includes: determining the region where the submalartriangle outer contour circle is located as the submalar triangle regionin the face image.

In another possible implementation, the determining the submalartriangle region in the face image according to the submalar triangleouter contour circle includes: adjusting the submalar triangle outercontour circle by using a facial contour line in the face image toobtain the submalar triangle region in the face image. In thisimplementation, the submalar triangle outer contour circle may beconfined by the facial contour line in the face image to limit thesubmalar triangle region within the face contour. In thisimplementation, the submalar triangle outer contour circle may beadjusted by means of the part of the facial contour line below the eyeand above the corner of the mouth to obtain the submalar triangle regionin the face image.

FIG. 6 is an exemplary schematic flowchart of adjusting the submalartriangle outer contour circle by using a facial contour line in the faceimage to obtain the submalar triangle region in the face image in a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 6, the adjusting the submalar triangleouter contour circle by using a facial contour line in the face image toobtain the submalar triangle region in the face image may includeoperations S1331 to S1333.

In operation S1331, the facial contour line in the face image is sampledto obtain a sample point on the facial contour line.

In a possible implementation, the part of the facial contour line belowthe eye and above the corner of the mouth may be sampled to obtain asample point on the facial contour line.

In operation S1332, the submalar triangle outer contour circle issampled to obtain a sample point on the submalar triangle outer contourcircle.

In operation S1333, curve fitting is performed on the sample point onthe facial contour line and the sample point on the submalar triangleouter contour circle to obtain the submalar triangle region in the faceimage.

In a possible implementation, curve fitting may be performed on thesample point on the facial contour line and the sample point on thesubmalar triangle outer contour circle by a Catmull-Rom curve fittingmethod to obtain the submalar triangle region in the face image.

In some embodiments of the present disclosure, the operations S1331 toS1333 may be executed by a processor by invoking a correspondinginstruction stored in a memory, or executed by corresponding module runby the processor.

FIG. 7 is an exemplary schematic flowchart of operation S14 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 7, operation S14 may include operationsS141 and S142.

In operation S141, a first target pixel corresponding to each pixel inthe submalar triangle region is respectively determined, where the firsttarget pixel corresponding to the pixel is positioned on a lineconnecting the submalar triangle center and the pixel.

In a possible implementation, the respectively determining a firsttarget pixel corresponding to each pixel in the submalar triangle regionincludes: respectively determining the first target pixel correspondingto each pixel in the submalar triangle region according to a submalartriangle filling strength coefficient. The submalar triangle fillingstrength coefficient may be customized by a user. The submalar trianglefilling strength coefficient indicates a degree of deformation of thesubmalar triangle. For example, the greater the submalar trianglefilling strength coefficient, the greater the degree of deformation ofthe submalar triangle; and the smaller the submalar triangle fillingstrength coefficient, the smaller the degree of deformation of thesubmalar triangle.

In a possible implementation, the respectively determining a firsttarget pixel corresponding to each pixel in the submalar triangle regionincludes: respectively determining the first target pixel correspondingto each pixel in the submalar triangle region by using a convex downwardfunction having a second derivative constantly greater than 0. Forexample, the function is y=1−sx², where

${x = \frac{D_{{OP}_{1}}}{R}},{{{and}\mspace{14mu} y} = {\frac{D_{{OP}_{1}^{\prime}}}{R}.}}$

P₁ represents a certain pixel in the submalar triangle region, D_(OP) ₁represents the distance between the submalar triangle center and thepixel, P₁′ represents the first target pixel corresponding to the pixel,D_(OP) ₁ _(′) represents the distance between the submalar trianglecenter and the first target pixel, s represents the submalar trianglefilling strength coefficient, and x has a value range of [0, 1]. By thisfunction, the range of deformation may be limited to the submalartriangle region, and changes in the submalar triangle region arecontinuous. The effect of pixels in the submalar triangle regionspreading outward in the radius direction can be achieved by means ofthe convex downward function having a second derivative constantlygreater than 0.

FIG. 8 is a schematic diagram of operation S141 of a face imageprocessing method according to the embodiments of the presentdisclosure. As shown in FIG. 8, by taking the pixel value of pixel P₁′as the pixel value of pixel P₁, the effect of moving pixel P₁′ to pixelP₁ may be achieved.

In operation S142, pixel values of the respective pixels arerespectively updated to pixel values of the corresponding first targetpixels.

In the example shown in FIG. 8, the pixel value of pixel P₁ is updatedto the pixel value of pixel P₁′, that is, the pixel value of pixel P₁′is taken as the pixel value of pixel P₁.

In the examples shown in FIG. 7 and FIG. 8, by changing the densitydistribution of pixel points in the submalar triangle region using acircular convex lens deformation method, the deformation effect of whichis that pixels in the center of the submalar triangle region spreadoutward in the radius direction, submalar triangle filling is performed,making the submalar triangle full. The deformation in the examples isconstrained by both the submalar triangle region and the submalartriangle center.

In some embodiments of the present disclosure, the operations S141 andS142 may be executed by a processor by invoking a correspondinginstruction stored in a memory, or executed by corresponding module runby the processor.

FIG. 9 is an exemplary schematic flowchart of operation S14 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 9, operation S14 may include operationsS143 to S146.

In operation S143, a first reference point in the face image isdetermined.

In a possible implementation, the distance between the first referencepoint and a nose tip key point is greater than the distance between thesubmalar triangle center and the nose tip key point. That is, in thisimplementation, the first reference point is closer to the facialcontour than the submalar triangle center.

In a possible implementation, the first reference point is outside thesubmalar triangle region. For example, the distance between the submalartriangle center and the first reference point is √{square root over (2)}times of the radius of the submalar triangle outer contour circle.

For example, the first reference point in the face image is M₁.

In operation S144, a vector that points from the submalar trianglecenter to the first reference point is determined as a first referencevector.

For example, if the submalar triangle center is O, {right arrow over(O)} represents a vector that points from a first reference pixel to thesubmalar triangle center, the first reference point is M₁, and {rightarrow over (M)}₁ represents a vector that points from the firstreference pixel to the first reference point, the first reference vectormay be represented as {right arrow over (M)}₁−{right arrow over (O)}.The first reference pixel may be the origin of a coordinate axis.

In operation S145, a second target pixel corresponding to each pixel inthe submalar triangle region is respectively determined according to thefirst reference vector, where the direction of a vector that points fromthe second target pixel to its corresponding pixel is the same as thatof the first reference vector.

In operation S146, the pixel values of the respective pixels arerespectively updated to pixel values of the corresponding second targetpixels.

For example, if the second target pixel corresponding to pixel P₂ in thesubmalar triangle region is pixel P₂′, the pixel value of pixel P₂ maybe updated to the pixel value of pixel P₂′, that is, the pixel value ofpixel P₂′ is taken as the pixel value of pixel P₂.

In some embodiments of the present disclosure, the operations S143 toS146 may be executed by a processor by invoking a correspondinginstruction stored in a memory, or executed by corresponding module runby the processor.

In the example shown in FIG. 9, by changing the density distribution ofpixel points in the submalar triangle region using a circularliquefaction deformation method, the deformation effect of which is thatpixels in the center of the submalar triangle region spreads outward ina uniform direction, the submalar triangle is filled, and the contourline of the submalar triangle is accentuated, making the submalartriangle full and stereoscopic. The range of deformation in the exampleshown in FIG. 9 is constrained and determined by both the submalartriangle region and the submalar triangle center.

FIG. 10 is an exemplary schematic flowchart of operation S145 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 10, operation S145 may include operationsS1451 to S1453.

In operation S1451, a first distance between the submalar trianglecenter and a first pixel in the submalar triangle region is determined.

For example, if the submalar triangle center is O, the first pixel inthe submalar triangle region is P₂, {right arrow over (O)} represents avector that points from the first reference pixel to the submalartriangle center, and {right arrow over (P)}₂ represents a vector of thefirst reference pixel pointing to the first pixel, the first distancebetween the submalar triangle center and the first pixel in the submalartriangle region may be represented as |{right arrow over (P)}₂−{rightarrow over (O)}|.

In operation S1452, a first coefficient is determined according to theradius of the submalar triangle outer contour circle, the firstdistance, and a modulus of the first reference vector.

For example, the radius of the submalar triangle outer contour circle isR, the first distance is |{right arrow over (P)}₂−{right arrow over(O)}|, the first reference vector is |{right arrow over (M)}₁−{rightarrow over (O)}|, and the first coefficient is α₁.

In operation S1453, a second target pixel corresponding to the firstpixel is determined according to the first pixel, the first coefficient,and the first reference vector.

In some embodiments of the present disclosure, the operations S1451 toS1453 may be executed by a processor by invoking a correspondinginstruction stored in a memory, or executed by corresponding module runby the processor.

FIG. 11 is a schematic diagram of a submalar triangle center O, a firstreference point M₁, a first pixel P₂, a second target pixel P₂′corresponding to the first pixel, and the radius R of a submalartriangle outer contour circle in a face image processing methodaccording to the embodiments of the present disclosure.

FIG. 12 is an exemplary schematic flowchart of operation S1452 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 12, operation S1452 may include operationsS14521 to S14523.

In operation S14521, a first difference between a square of the radiusof the submalar triangle outer contour circle and a square of the firstdistance is calculated.

For example, the first difference is equal to R²−|{right arrow over(P)}₂−{right arrow over (O)}|².

In operation S14522, the first difference and a square of the modulus ofthe first reference vector are added to obtain a first sum.

For example, the first sum is equal to R²−|{right arrow over(P)}₂−{right arrow over (O)}|²+|{right arrow over (M)}₁−{right arrowover (O)}|².

In operation S14523, a ratio of the first difference to the first sum iscalculated to obtain the first coefficient.

For example, the first coefficient is

$\alpha_{1} = {\frac{R^{2} - {{{\overset{arrow}{P}}_{2} - \overset{arrow}{O}}}^{2}}{R^{2} - {{{\overset{arrow}{P}}_{2} - \overset{arrow}{O}}}^{2} + {{{\overset{arrow}{M}}_{1} - \overset{arrow}{O}}}^{2}}.}$

In some embodiments of the present disclosure, the operations S14521 toS14523 may be executed by a processor by invoking a correspondinginstruction stored in a memory, or executed by corresponding module runby the processor.

FIG. 13 is an exemplary schematic flowchart of operation S1453 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 13, operation S1453 may include operationsS14531 to S14534.

In operation S14531, a vector that points from a first reference pixelto the first pixel is determined as a first pixel vector.

For example, the first pixel vector may be represented as {right arrowover (P)}₂.

In operation S14532, a first product of the first coefficient and thefirst reference vector is calculated.

For example, the first product of the first coefficient and the firstreference vector is α₁({right arrow over (M)}₁−{right arrow over (O)}).

In operation S14533, the difference between the first pixel vector andthe first product is calculated to obtain a second target pixel vectorcorresponding to the first pixel.

For example, the second target pixel vector corresponding to the firstpixel is {right arrow over (P)}₂′={right arrow over (P)}₂−α₁({rightarrow over (M)}₁−{right arrow over (O)}).

In operation S14534, the second target pixel corresponding to the firstpixel is determined according to the location of the first referencepixel and the second target pixel vector corresponding to the firstpixel.

The second target pixel vector {right arrow over (P)}₂′ corresponding tothe first pixel represents a vector of the first reference pixelpointing to the second target pixel P₂′. The second target pixel P₂′corresponding to the first pixel may be determined according to thelocation of the first reference pixel and the second target pixel vector{right arrow over (P)}₂′ corresponding to the first pixel.

In some embodiments of the present disclosure, the operations S14531 toS14534 may be executed by a processor by invoking a correspondinginstruction stored in a memory, or executed by corresponding module runby the processor.

FIG. 14 is an exemplary schematic flowchart of operation S14 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 14, operation S14 may include operationsS147, S148, S149, and S140.

In operation S147, a second reference point in the face image isdetermined.

In a possible implementation, the distance between the second referencepoint and a lower eyelid key point is less than the distance between thesubmalar triangle center and the lower eyelid key point.

In a possible implementation, the second reference point is outside thesubmalar triangle region.

In a possible implementation, the second reference point is positionedon a line connecting the submalar triangle center and a key point oflower eyelid.

For example, the second reference point in the face image is M₂.

In operation S148, a vector that points from the submalar trianglecenter to the second reference point is determined as a second referencevector.

For example, if the submalar triangle center is O, {right arrow over(O)} represents a vector of a second reference pixel pointing to thesubmalar triangle center, the second reference point is M₂, and {rightarrow over (M)}₂ represents a vector of the second reference pixelpointing to the second reference point, the second reference vector maybe represented as {right arrow over (M)}₂−{right arrow over (O)}. Thesecond reference pixel may be the origin of a coordinate axis.

In operation S149, a third target pixel corresponding to each pixel inthe submalar triangle region is respectively determined according to thesecond reference vector, where the direction of a vector that pointsfrom the third target pixel to its corresponding pixel is the same asthat of the second reference vector.

In operation S140, the pixel values of the respective pixels arerespectively updated to pixel values of the corresponding third targetpixels.

For example, if the third target pixel corresponding to pixel P₃ in thesubmalar triangle region is pixel P₃′, the pixel value of pixel P₃ maybe updated to the pixel value of pixel P₃′, that is, the pixel value ofpixel P₃′ is taken as the pixel value of pixel P₃.

In some embodiments of the present disclosure, the operations S147,S148, S149, and S140 may be executed by a processor by invoking acorresponding instruction stored in a memory, or executed bycorresponding module run by the processor.

In the example shown in FIG. 14, the location of the submalar triangleis raised using a circular liquefaction deformation method, therebyintegrally raising the submalar triangle and making the face morevibrant. The range of deformation in this example is constrained anddetermined by both the submalar triangle region and the submalartriangle center.

FIG. 15 is an exemplary schematic flowchart of operation S149 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 15, operation S149 may include operationsS1491 to S1493.

In operation S1491, a second distance between the submalar trianglecenter and a second pixel in the submalar triangle region is determined.

For example, if the submalar triangle center is O, the second pixel inthe submalar triangle region is P₃, {right arrow over (O)} representsthe vector of the second reference pixel pointing to the submalartriangle center, and {right arrow over (P)}₃ represents a vector of thesecond reference pixel pointing to the second pixel, the second distancebetween the submalar triangle center and the second pixel in thesubmalar triangle region may be represented as |{right arrow over(P)}₃−{right arrow over (O)}|.

In operation S1492, a second coefficient is determined according to theradius of the submalar triangle outer contour circle, the seconddistance, and a modulus of the second reference vector.

For example, the radius of the submalar triangle outer contour circle isR, the second distance is |{right arrow over (P)}₃−{right arrow over(O)}|, the second reference vector is |{right arrow over (M)}₂−{rightarrow over (O)}|, and the second coefficient is α₂.

In operation S1493, a third target pixel corresponding to the secondpixel is determined according to the second pixel, the secondcoefficient, and the second reference vector.

In some embodiments of the present disclosure, the operations S1491 toS1493 may be executed by a processor by invoking a correspondinginstruction stored in a memory, or executed by corresponding module runby the processor.

FIG. 16 is a schematic diagram of a submalar triangle center O, a secondreference point M₂, a second pixel P₃, a third target pixel P₃′corresponding to the second pixel, and the radius R of a submalartriangle outer contour circle in a face image processing methodaccording to the embodiments of the present disclosure.

FIG. 17 is an exemplary schematic flowchart of operation S1492 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 17, operation S1492 may include operationsS14921 to S14923.

In operation S14921, a second difference between a square of the radiusof the submalar triangle outer contour circle and a square of the seconddistance is calculated.

For example, the second difference is equal to R²−|{right arrow over(P)}₃−{right arrow over (O)}|².

In operation S14922, the second difference and a square of the modulusof the second reference vector are added to obtain a second sum.

For example, the second sum is equal to R²−|{right arrow over(P)}₃−{right arrow over (O)}|²+|{right arrow over (M)}₂−{right arrowover (O)}|².

In operation S14923, a ratio of the second difference to the second sumis calculated to obtain the second coefficient.

For example, the second coefficient is

$\alpha_{2} = {\frac{R^{2} - {{{\overset{arrow}{P}}_{3} - \overset{arrow}{O}}}^{2}}{R^{2} - {{{\overset{arrow}{P}}_{3} - \overset{arrow}{O}}}^{2} + {{{\overset{arrow}{M}}_{2} - \overset{arrow}{O}}}^{2}}.}$

In some embodiments of the present disclosure, the operations S14921 toS14923 may be executed by a processor by invoking a correspondinginstruction stored in a memory, or executed by corresponding module runby the processor.

FIG. 18 is an exemplary schematic flowchart of operation S1493 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 18, operation S1493 may include operationsS14931 to S14934.

In operation S14931, a vector that points from a second reference pixelto the second pixel is determined as a second pixel vector.

For example, the second pixel vector may be represented as {right arrowover (P)}₃.

In operation S14932, a second product of the second coefficient and thesecond reference vector is calculated.

For example, the second product of the second coefficient and the secondreference vector is α₂({right arrow over (M)}₂−{right arrow over (O)}).

In operation S14933, the difference between the second pixel vector andthe second product is calculated to obtain a third target pixel vectorcorresponding to the second pixel.

For example, the third target pixel vector corresponding to the secondpixel is {right arrow over (P)}₃′={right arrow over (P)}₃−α₂({rightarrow over (M)}₂−{right arrow over (O)}).

In operation S14934, the third target pixel corresponding to the secondpixel is determined according to the location of the second referencepixel and the third target pixel vector corresponding to the secondpixel.

The third target pixel vector {right arrow over (P)}₃′ corresponding tothe second pixel represents a vector of the second reference pixelpointing to the third target pixel P₃′. The third target pixel {rightarrow over (P)}₃′ corresponding to the second pixel may be determinedaccording to the location of the second reference pixel and the thirdtarget pixel vector P₃′ corresponding to the second pixel.

In a possible implementation, operation S14 may sequentially includeoperations S141 and S142, operations S143 to S146, and operations S147to S140.

In another possible implementation, operation S14 may sequentiallyinclude operations S141 and S142, and operations S147 to S140.

In another possible implementation, operation S14 may sequentiallyinclude operations S141 and S142, operations S147 to S140, andoperations S143 to S146.

In another possible implementation, operation S14 may sequentiallyinclude operations S143 to S146, operations S141 and S142, andoperations S147 to S140.

It should be noted that although operation S14 is described above withthe foregoing implementations, persons skilled in the art can understandthat the embodiments of the present disclosure is not limited thereto.Persons skilled in the art can flexibly configure the specificimplementation of operation S14 according to actual applicationscenarios and/or personal preferences, as long as operation S14 isimplemented according to one, or two, or three, of a first group ofoperations, a second group of operations, and a third group ofoperations. The first group of operations represents operations S141 andS142, the second group of operations represents operations S143 to S146,and the third group of operations represents operations S147 to S140.

In some embodiments of the present disclosure, the operations S14931 toS14934 may be executed by a processor by invoking a correspondinginstruction stored in a memory, or executed by corresponding module runby the processor.

FIG. 19 is an exemplary schematic flowchart of operation S14 of a faceimage processing method according to the embodiments of the presentdisclosure. As shown in FIG. 19, operation S14 may include operationsS141 to S140. For description of the operations, reference is made tothe above, and details are not described herein again.

In operation S141, a first target pixel corresponding to each pixel inthe submalar triangle region is respectively determined, where the firsttarget pixel corresponding to the pixel is positioned on a lineconnecting the submalar triangle center and the pixel.

In operation S142, pixel values of the respective pixels arerespectively updated to pixel values of the corresponding first targetpixels.

In operation S143, a first reference point in the face image isdetermined.

In operation S144, a vector that points from the submalar trianglecenter to the first reference point is determined as a first referencevector.

In operation S145, a second target pixel corresponding to each pixel inthe submalar triangle region is respectively determined according to thefirst reference vector, where the direction of a vector that points fromthe second target pixel to its corresponding pixel is the same as thatof the first reference vector.

In operation S146, the pixel values of the respective pixels arerespectively updated to pixel values of the corresponding second targetpixels.

In operation S147, a second reference point in the face image isdetermined.

In operation S148, a vector that points from the submalar trianglecenter to the second reference point is determined as a second referencevector.

In operation S149, a third target pixel corresponding to each pixel inthe submalar triangle region is respectively determined according to thesecond reference vector, where the direction of a vector that pointsfrom the third target pixel to its corresponding pixel is the same asthat of the second reference vector.

In operation S140, the pixel values of the respective pixels arerespectively updated to pixel values of the corresponding third targetpixels.

In some embodiments of the present disclosure, the above operations S141to S140 may be executed by a processor by invoking a correspondinginstruction stored in a memory, or executed by corresponding module runby the processor.

In the embodiments of the present disclosure, the submalar trianglefilling method adopted only involves a deformation method, and the lightand shadow distribution of the face is hardly changed. Thus, thesubmalar triangle filling effect is more natural.

It should be understood that the foregoing various method embodimentsmentioned in the embodiments of the present disclosure may be combinedwith each other to form a combined embodiment without departing from theprinciple logic. Details are not described herein again due to spacelimitation.

In addition, the embodiments of the present disclosure further provide aface image processing apparatus, an electronic device, acomputer-readable storage medium, and a program, which can all be usedto implement any of the face image processing methods provided by thepresent disclosure. For the corresponding technical solutions anddescriptions, please refer to the corresponding content in the methodsection. Details are not described herein again.

FIG. 20 is a schematic structural diagram of a face image processingapparatus according to the embodiments of the present disclosure. Asshown in FIG. 20, the apparatus includes: an obtaining module 21,configured to obtain face key points and a face deflection angle in aface image; a first determining module 22, configured to determine asubmalar triangle center in the face image according to the face keypoints and the face deflection angle; a second determining module 23,configured to determine a submalar triangle region in the face imageaccording to the face key points and the submalar triangle center; and afilling module 24, configured to perform color filling on the submalartriangle region.

FIG. 21 is an exemplary schematic structural diagram of a face imageprocessing apparatus according to the embodiments of the presentdisclosure. As shown in FIG. 21.

In a possible implementation, the first determining module 22 includes:a first determining sub-module 221, configured to determine an estimatedlocation of the submalar triangle center in the face image by performinginterpolation on the face key points; and an adjusting sub-module 222,configured to adjust the estimated location of the submalar trianglecenter according to the face deflection angle to obtain the submalartriangle center in the face image.

In a possible implementation, the second determining module 23 includes:a connecting sub-module 231, configured to connect the face key pointsto obtain a polygon corresponding to the face key points; a seconddetermining sub-module 232, configured to determine a maximum circlecentered on the submalar triangle center in the polygon as a submalartriangle outer contour circle in the face image; and a third determiningsub-module 233, configured to determine the submalar triangle region inthe face image according to the submalar triangle outer contour circle.

In a possible implementation, the third determining sub-module 233 isconfigured to: adjust the submalar triangle outer contour circle byusing a facial contour line in the face image to obtain the submalartriangle region in the face image.

In a possible implementation, the third determining sub-module 233includes: a first sampling unit, configured to sample the facial contourline in the face image to obtain a sample point on the facial contourline; a second sampling unit, configured to sample the submalar triangleouter contour circle to obtain a sample point on the submalar triangleouter contour circle; and a curve fitting unit, configured to performcurve fitting on the sample point on the facial contour line and thesample point on the submalar triangle outer contour circle to obtain thesubmalar triangle region in the face image.

In a possible implementation, the filling module 24 includes: a fourthdetermining sub-module 241, configured to respectively determine a firsttarget pixel corresponding to each pixel in the submalar triangleregion, where the first target pixel corresponding to the pixel ispositioned on a line connecting the submalar triangle center and thepixel; and a first updating sub-module 242, configured to respectivelyupdate pixel values of the respective pixels to pixel values of thecorresponding first target pixels.

In a possible implementation, the fourth determining sub-module 241 isconfigured to: respectively determine the first target pixelcorresponding to each pixel in the submalar triangle region according toa submalar triangle filling strength coefficient.

In a possible implementation, the fourth determining sub-module 241 isconfigured to: respectively determine the first target pixelcorresponding to each pixel in the submalar triangle region by using aconvex downward function having a second derivative constantly greaterthan 0.

In a possible implementation, the filling module 24 includes: a fifthdetermining sub-module 243, configured to determine a first referencepoint in the face image; a sixth determining sub-module 244, configuredto determine a vector of the submalar triangle center pointing to thefirst reference point as a first reference vector; a seventh determiningsub-module 245, configured to respectively determine a second targetpixel corresponding to each pixel in the submalar triangle regionaccording to the first reference vector, where the direction of avector, of the second target pixel corresponding to the pixel, pointingto the pixel is the same as that of the first reference vector; and asecond updating sub-module 246, configured to respectively update thepixel values of the respective pixels to pixel values of thecorresponding second target pixels.

In a possible implementation, the distance between the first referencepoint and a nose tip key point is greater than the distance between thesubmalar triangle center and the nose tip key point.

In a possible implementation, the seventh determining sub-module 245includes: a first determining unit, configured to determine a firstdistance between the submalar triangle center and a first pixel in thesubmalar triangle region; a second determining unit, configured todetermine a first coefficient according to the radius of the submalartriangle outer contour circle, the first distance, and a modulus of thefirst reference vector; and a third determining unit, configured todetermine a second target pixel corresponding to the first pixelaccording to the first pixel, the first coefficient, and the firstreference vector.

In a possible implementation, the second determining unit includes: afirst calculating sub-unit, configured to calculate a first differencebetween a square of the radius of the submalar triangle outer contourcircle and a square of the first distance; a second calculatingsub-unit, configured to add the first difference and a square of themodulus of the first reference vector to obtain a first sum; and a thirdcalculating sub-unit, configured to calculate a ratio of the firstdifference to the first sum to obtain the first coefficient.

In a possible implementation, the third determining unit includes: afirst calculating sub-unit, configured to determine a vector that pointsfrom a first reference pixel to the first pixel as a first pixel vector;a fourth calculating sub-unit, configured to calculate a first productof the first coefficient and the first reference vector; a fifthcalculating sub-unit, configured to calculate the difference between thefirst pixel vector and the first product to obtain a second target pixelvector corresponding to the first pixel; and a second determiningsub-unit, configured to determine the second target pixel correspondingto the first pixel according to the location of the first referencepixel and the second target pixel vector corresponding to the firstpixel.

In a possible implementation, the filling module 24 includes: an eighthdetermining sub-module 247, configured to determine a second referencepoint in the face image; a ninth determining sub-module 248, configuredto determine a vector that points from the submalar triangle center tothe second reference point as a second reference vector; a tenthdetermining sub-module 249, configured to respectively determine a thirdtarget pixel corresponding to each pixel in the submalar triangle regionaccording to the second reference vector, where the direction of avector, that points from the third target pixel to its correspondingpixel is the same as that of the second reference vector; and a thirdupdating sub-module 240, configured to respectively update the pixelvalues of the respective pixels to pixel values of the correspondingthird target pixels.

In a possible implementation, the second reference point is positionedon a line connecting the submalar triangle center and a key point oflower eyelid.

In a possible implementation, the tenth determining sub-module 249includes: a fourth determining unit, configured to determine a seconddistance between the submalar triangle center and a second pixel in thesubmalar triangle region; a fifth determining unit, configured todetermine a second coefficient according to the radius of the submalartriangle outer contour circle, the second distance, and a modulus of thesecond reference vector; and a sixth determining unit, configured todetermine a third target pixel corresponding to the second pixelaccording to the second pixel, the second coefficient, and the secondreference vector.

In a possible implementation, the fifth determining unit includes: asixth calculating sub-unit, configured to calculate a second differencebetween the square of the radius of the submalar triangle outer contourcircle and a square of the second distance; a seventh calculatingsub-unit, configured to add the second difference and a square of themodulus of the second reference vector to obtain a second sum; and aneighth calculating sub-unit, configured to calculate a ratio of thesecond difference to the second sum to obtain the second coefficient.

In a possible implementation, the sixth determining unit includes: athird determining sub-unit, configured to determine a vector that pointsfrom a second reference pixel to the second pixel as a second pixelvector; a ninth calculating sub-unit, configured to calculate a secondproduct of the second coefficient and the second reference vector; atenth calculating sub-unit, configured to calculate the differencebetween the second pixel vector and the second product to obtain a thirdtarget pixel vector corresponding to the second pixel; and a fourthdetermining sub-unit, configured to determine the third target pixelcorresponding to the second pixel according to the location of thesecond reference pixel and the third target pixel vector correspondingto the second pixel.

In a possible implementation, the filling module 24 includes: a fourthdetermining sub-module 241, configured to respectively determine a firsttarget pixel corresponding to each pixel in the submalar triangleregion, where the first target pixel corresponding to the pixel ispositioned on a line connecting the submalar triangle center and thepixel; a first updating sub-module 242, configured to respectivelyupdate pixel values of the respective pixels to pixel values of thecorresponding first target pixels; a fifth determining sub-module 243,configured to determine a first reference point in the face image; asixth determining sub-module 244, configured to determine a vector thatpoints from the submalar triangle center to the first reference point asa first reference vector; a seventh determining sub-module 245,configured to respectively determine a second target pixel correspondingto each pixel in the submalar triangle region according to the firstreference vector, where the direction of a vector, of the second targetpixel corresponding to the pixel, pointing to the pixel is the same asthat of the first reference vector; a second updating sub-module 246,configured to respectively update the pixel values of the respectivepixels to pixel values of the corresponding second target pixels; aneighth determining sub-module 247, configured to determine a secondreference point in the face image; a ninth determining sub-module 248,configured to determine a vector that points from the submalar trianglecenter to the second reference point as a second reference vector; atenth determining sub-module 249, configured to respectively determine athird target pixel corresponding to each pixel in the submalar triangleregion according to the second reference vector, where the direction ofa vector, of the third target pixel corresponding to the pixel, pointingto the pixel is the same as that of the second reference vector; and athird updating sub-module 240, configured to respectively update thepixel values of the respective pixels to pixel values of thecorresponding third target pixels.

In the embodiments of the present disclosure, by obtaining face keypoints and a face deflection angle in a face image, determining asubmalar triangle center in the face image according to the face keypoints and the face deflection angle, determining a submalar triangleregion in the face image according to the face key points and thesubmalar triangle center, and performing color filling on the submalartriangle region, the submalar triangle region can be accuratelydetermined, and submalar triangle filling is performed based on theaccurately positioned submalar triangle region, thereby obtaining a morenatural filling effect.

The embodiments of the present disclosure further provide acomputer-readable storage medium, having computer program instructionsstored thereon, where when the computer program instructions areexecuted by a processor, the foregoing methods are implemented. Thecomputer-readable storage medium may be a non-volatile computer-readablestorage medium.

The embodiments of the present disclosure further provide an electronicdevice, including: a processor, and a memory for storing processorexecutable instructions; where when the processor is configured toexecute a computer program, the foregoing method according to theembodiments of the present disclosure is performed.

The electronic device may be provided as a terminal, a server, or otherforms of devices.

FIG. 22 is a schematic structural diagram of an electronic device 800according to an exemplary embodiment. For example, the electronic device800 may be a terminal such as a mobile phone, a computer, a digitalbroadcast terminal, a message transceiving device, a game console, atablet device, a medical device, exercise equipment, and a personaldigital assistant.

With reference to FIG. 22, the electronic device 800 may include one ormore of the following components: a processing component 802, a memory804, a power supply component 806, a multimedia component 808, an audiocomponent 810, an Input/Output (I/O) interface 812, a sensor component814, and a communication component 816.

The processing component 802 generally controls overall operation of theelectronic device 800, such as operations associated with display, phonecalls, data communications, camera operations, and recording operations.The processing component 802 may include one or more processors 820 toexecute instructions to implement all or some of the operations of themethod above. In addition, the processing component 802 may include oneor more modules to facilitate interaction between the processingcomponent 802 and other components. For example, the processingcomponent 802 may include a multimedia module to facilitate interactionbetween the multimedia component 808 and the processing component 802.

The memory 804 is configured to store various types of data to supportoperations on the electronic device 800. Examples of the data includeinstructions for any application or method operated on the electronicdevice 800, contact data, contact list data, messages, pictures, videos,and the like. The memory 804 may be implemented by any type of volatileor non-volatile storage device, or a combination thereof, such as aStatic Random-Access Memory (SRAM), an Electrically ErasableProgrammable Read-Only Memory (EEPROM), an Erasable ProgrammableRead-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), aRead-Only Memory (ROM), a magnetic memory, a flash memory, a disk or anoptical disk.

The power supply component 806 provides power for various components ofthe electronic device 800. The power supply component 806 may include apower management system, one or more power supplies, and othercomponents associated with power generation, management, anddistribution for the electronic device 800.

The multimedia component 808 includes a screen between the electronicdevice 800 and a user that provides an output interface. In someembodiments, the screen may include a Liquid Crystal Display (LCD) and aTouch Panel (TP). If the screen includes a TP, the screen may beimplemented as a touch screen to receive input signals from the user.The TP includes one or more touch sensors for sensing touches, swipes,and gestures on the TP. The touch sensor may not only sense the boundaryof a touch or swipe action, but also detect the duration and pressurerelated to the touch or swipe operation. In some embodiments, themultimedia component 808 includes a front-facing camera and/or arear-facing camera. When the electronic device 800 is in an operationmode, for example, a photography mode or a video mode, the front-facingcamera and/or the rear-facing camera may receive external multimediadata. Each of the front-facing camera and the rear-facing camera may bea fixed optical lens system, or have focal length and optical zoomcapabilities.

The audio component 810 is configured to output and/or input an audiosignal. For example, the audio component 810 includes a microphone(MIC), and the microphone is configured to receive an external audiosignal when the electronic device 800 is in an operation mode, such as acalling mode, a recording mode, and a voice recognition mode. Thereceived audio signal may be further stored in the memory 804 ortransmitted by means of the communication component 816. In someembodiments, the audio component 810 further includes a speaker foroutputting the audio signal.

The I/O interface 812 provides an interface between the processingcomponent 802 and a peripheral interface module, which may be akeyboard, a click wheel, a button, etc. The button may include, but isnot limited to, a home button, a volume button, a start button, and alock button.

The sensor component 814 includes one or more sensors for providingstate assessment in various aspects for the electronic device 800. Forexample, the sensor component 814 may detect an on/off state of theelectronic device 800, and relative positioning of components, which arethe display and keypad of the electronic device 800, for example, andthe sensor component 814 may further detect a location change of theelectronic device 800 or a component of the electronic device 800, thepresence or absence of contact of the user with the electronic device800, the orientation or acceleration/deceleration of the electronicdevice 800, and a temperature change of the electronic device 800. Thesensor component 814 may include a proximity sensor, which is configuredto detect the presence of a nearby object when there is no physicalcontact. The sensor component 814 may also include a light sensor, suchas a Complementary Metal Oxide Semiconductor (CMOS) or a Charge CoupledDevice (CCD) image sensor, for use in an imaging application. In someembodiments, the sensor component 814 may further include anacceleration sensor, a gyroscope sensor, a magnetic sensor, a pressuresensor, or a temperature sensor.

The communication component 816 is configured to facilitate wired orwireless communications between the electronic device 800 and otherdevices. The electronic device 800 may access a wireless network basedon a communication standard, such as WiFi, 2G, or 3G, or a combinationthereof. In an exemplary embodiment, the communication component 816receives a broadcast signal or broadcast-related information from anexternal broadcast management system by means of a broadcast channel. Inan exemplary embodiment, the communication component 816 furtherincludes a Near Field Communication (NFC) module to facilitateshort-range communication. For example, the NFC module may beimplemented based on Radio Frequency Identification (RFID) technology,Infrared Data Association (IrDA) technology, Ultra Wideband (UWB)technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the electronic device 800 may be implementedby one or more Application-Specific Integrated Circuits (ASICs), DigitalSignal Processors (DSPs), Digital Signal Processing Devices (DSPDs),Programmable Logic Devices (PLDs), Field-Programmable Gate Arrays(FPGAs), controllers, microcontrollers, microprocessors, or otherelectronic elements, to execute the method above.

In an exemplary embodiment, a non-volatile computer-readable storagemedium is further provided, for example, a memory 804 including computerprogram instructions, which can executed by the processor 820 of theelectronic device 800 to implement the method above.

FIG. 23 is a schematic structural diagram of an electronic device 1900according to an exemplary embodiment. For example, the electronic device1900 may be provided as a server. With reference to FIG. 23, theelectronic device 1900 includes a processing component 1922 whichfurther includes one or more processors, and a memory resourcerepresented by a memory 1932 and configured to store instructionsexecutable by the processing component 1922, for example, an applicationprogram. The application program stored in the memory 1932 may includeone or more modules, each of which corresponds to a set of instructions.Further, the processing component 1922 may be configured to executeinstructions so as to execute the above method.

The electronic device 1900 may further include a power supply component1926 configured to execute power management of the electronic device1900, a wired or wireless network interface 1950 configured to connectthe electronic device 1900 to the network, and an I/O interface 1958.The electronic device 1900 may be operated based on an operating systemstored in the memory 1932, such as Windows Server™, Mac OS X™, Unix™,Linux™, FreeBSD™ or the like.

In an exemplary embodiment, a non-volatile computer-readable storagemedium is further provided, for example, a memory 1932 includingcomputer program instructions, which can be executed by the processingcomponent 1922 of the electronic device 1900 to implement the methodabove.

The embodiments of the present disclosure may be a system, a method,and/or a computer program product. The computer program product mayinclude a computer-readable storage medium having computer-readableprogram instructions thereon for causing a processor to implement theaspects of the embodiments of the present disclosure.

The computer-readable storage medium may be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer-readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. More specific examples (a non-exhaustive list) of thecomputer-readable storage medium include: a portable computer diskette,a hard disk, a Random Access Memory (RAM), an ROM, an EPROM (or flashmemory), a SRAM, a portable Compact Disk Read-Only Memory (CD-ROM), aDigital Versatile Disc (DVD), a memory stick, a floppy disk, amechanically encoded device such as punch-cards or raised structure in agroove having instructions stored thereon, and any suitable combinationof the foregoing. A computer-readable storage medium, as used herein, isnot to be construed as being transitory signals per se, such as radiowaves or other freely propagating electromagnetic waves, electromagneticwaves propagating through a waveguide or other transmission media (e.g.,light pulses passing through a fiber-optic cable), or electrical signalstransmitted through a wire.

Computer-readable program instructions described herein can bedownloaded to respective computing/processing devices from acomputer-readable storage medium or to an external computer or externalstorage device via a network, for example, the Internet, a Local AreaNetwork (LAN), a Wide Area Network (WAN) and/or a wireless network. Thenetwork may computer copper transmission cables, optical transmissionfibers, wireless transmission, routers, firewalls, switches, gatewaycomputers and/or edge servers. A network adapter card or networkinterface in each computing/processing device receives computer-readableprogram instructions from the network and forwards the computer-readableprogram instructions for storage in a computer-readable storage mediumwithin the respective computing/processing device.

Computer program instructions for carrying out operations of the presentdisclosure may be assembler instructions, Instruction-Set-Architecture(ISA) instructions, machine instructions, machine dependentinstructions, microcode, firmware instructions, state-setting data, oreither source code or object code written in any combination of one ormore programming languages, including an object oriented programminglanguage such as Smalltalk, C++ or the like, and conventional proceduralprogramming languages, such as the “C” programming language or similarprogramming languages. The computer-readable program instructions mayexecute entirely on the user's computer, partly on the user's computer,as a stand-alone software package, partly on the user's computer andpartly on a remote computer or entirely on the remote computer orserver. In a scenario involving a remote computer, the remote computermay be connected to the user's computer through any type of network,including a LAN or a WAN, or the connection may be made to an externalcomputer (for example, through the Internet using an Internet serviceprovider). In some embodiments, electronic circuitry including, forexample, programmable logic circuitry, Field-Programmable Gate Arrays(FGPAs), or Programmable Logic Arrays (PLAs) may execute thecomputer-readable program instructions by utilizing state information ofthe computer-readable program instructions to personalize the electroniccircuitry, in order to implement the aspects of the present disclosure.

The aspects of the present disclosure are described herein withreference to flowcharts and/or block diagrams of methods, apparatuses(systems), and computer program products according to the embodiments ofthe present disclosure. It should be understood that each block of theflowcharts and/or block diagrams, and combinations of the blocks in theflowcharts and/or block diagrams can be implemented by computer-readableprogram instructions.

These computer-readable program instructions may be provided to aprocessor of a general-purpose computer, special-purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer-readable program instructionsmay also be stored in a computer-readable storage medium that can causea computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that thecomputer-readable medium having instructions stored thereon includes anarticle of manufacture including instructions which implement theaspects of the functions/acts specified in one or more blocks of theflowcharts and/or block diagrams.

The computer-readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational operations to be performed on thecomputer, other programmable apparatus or other device to produce acomputer implemented process, such that the instructions which executeon the computer, other programmable apparatus or other device implementthe functions/acts specified in one or more blocks of the flowchartsand/or block diagrams.

The flowcharts and block diagrams in the accompanying drawingsillustrate the architecture, functionality and operations of possibleimplementations of systems, methods, and computer program productsaccording to multiple embodiments of the present disclosure. In thisregard, each block in the flowchart of block diagrams may represent amodule, segment, or portion of instruction, which includes one or moreexecutable instructions for implementing the specified logicalfunction(s). In some alternative implementations, the functions noted inthe block may also occur out of the order noted in the accompanyingdrawings. For example, two blocks shown in succession may, in fact, beexecuted substantially concurrently, or the blocks may sometimes beexecuted in the reverse order, depending upon the functionalityinvolved. It should also be noted that each block of the block diagramsand/or flowcharts, and combinations of blocks in the block diagramsand/or flowcharts, can be implemented by special purpose hardware-basedsystems that perform the specified functions or acts or carried out bycombinations of special purpose hardware and computer instructions.

The descriptions of the embodiments of the present disclosure have beenpresented for purposes of illustration, but are not intended to beexhaustive or limited to the embodiments disclosed. Many modificationsand variations will be apparent to persons of ordinary skill in the artwithout departing from the scope and spirit of the describedembodiments. The terminology used herein was chosen to best explain theprinciples of the embodiments, the practical application or technicalimprovement over technologies found in the marketplace, or to enableother persons of ordinary skill in the art to understand the embodimentsdisclosed herein.

1. A face image processing method, comprising: obtaining face key pointsand a face deflection angle in a face image; determining a submalartriangle center in the face image according to the face key points andthe face deflection angle; determining a submalar triangle region in theface image according to the face key points and the submalar trianglecenter; and performing color filling on the submalar triangle region. 2.The method according to claim 1, wherein the determining a submalartriangle center in the face image according to the face key points andthe face deflection angle comprises: determining an estimated locationof the submalar triangle center in the face image by performinginterpolation on the face key points; and adjusting the estimatedlocation of the submalar triangle center according to the facedeflection angle to obtain the submalar triangle center in the faceimage.
 3. The method according to claim 1, wherein the determining asubmalar triangle region in the face image according to the face keypoints and the submalar triangle center comprises: connecting the facekey points to obtain a polygon corresponding to the face key points;determining a maximum circle centered on the submalar triangle center inthe polygon as a submalar triangle outer contour circle in the faceimage; and determining the submalar triangle region in the face imageaccording to the submalar triangle outer contour circle.
 4. The methodaccording to claim 3, wherein the determining the submalar triangleregion in the face image according to the submalar triangle outercontour circle comprises: adjusting the submalar triangle outer contourcircle by using a facial contour line in the face image to obtain thesubmalar triangle region in the face image.
 5. The method according toclaim 4, wherein the adjusting the submalar triangle outer contourcircle by using a facial contour line in the face image to obtain thesubmalar triangle region in the face image comprises: sampling thefacial contour line in the face image to obtain a sample point on thefacial contour line; sampling the submalar triangle outer contour circleto obtain a sample point on the submalar triangle outer contour circle;and performing curve fitting on the sample point on the facial contourline and the sample point on the submalar triangle outer contour circleto obtain the submalar triangle region in the face image.
 6. The methodaccording to claim 1, wherein the performing color filling on thesubmalar triangle region comprises: determining a first target pixelcorresponding to each pixel in the submalar triangle region, wherein thefirst target pixel corresponding to the pixel is positioned on a lineconnecting the submalar triangle center and the pixel; and updating apixel value of each pixel to a pixel value of the first target pixelcorresponding to the pixel.
 7. The method according to claim 6, whereinthe determining a first target pixel corresponding to each pixel in thesubmalar triangle region comprises: determining the first target pixelcorresponding to each pixel in the submalar triangle region according toa submalar triangle filling strength coefficient.
 8. The methodaccording to claim 1, wherein the performing color filling on thesubmalar triangle region comprises: determining a first reference pointin the face image; determining a vector that points from the submalartriangle center to the first reference point as a first referencevector; determining a second target pixel corresponding to each pixel inthe submalar triangle region according to the first reference vector,wherein direction of a vector that points from the second target pixelto its corresponding pixel is the same as that of the first referencevector; and updating a pixel value of each pixel to a pixel value of thesecond target pixel corresponding to the pixel.
 9. The method accordingto claim 8, wherein a distance between the first reference point and anose tip key point is greater than a distance between the submalartriangle center and the nose tip key point.
 10. The method according toclaim 8, wherein the determining a second target pixel corresponding toeach pixel in the submalar triangle region according to the firstreference vector comprises: determining a first distance between thesubmalar triangle center and a first pixel in the submalar triangleregion; determining a first coefficient according to a radius of asubmalar triangle outer contour circle, the first distance, and amodulus of the first reference vector; and determining a second targetpixel corresponding to the first pixel according to the first pixel, thefirst coefficient, and the first reference vector.
 11. The methodaccording to claim 10, wherein the determining a first coefficientaccording to the radius of the submalar triangle outer contour circle,the first distance, and a modulus of the reference vector comprises:calculating a first difference between a square of the radius of thesubmalar triangle outer contour circle and a square of the firstdistance; adding the first difference and a square of the modulus of thefirst reference vector to obtain a first sum; and calculating a ratio ofthe first difference to the first sum to obtain the first coefficient.12. The method according to claim 10, wherein the determining a secondtarget pixel corresponding to the first pixel according to the firstpixel, the first coefficient, and the first reference vector comprises:determining a vector that points from a first reference pixel to thefirst pixel as a first pixel vector; calculating a first product of thefirst coefficient and the first reference vector; calculating adifference between the first pixel vector and the first product toobtain a second target pixel vector corresponding to the first pixel;and determining the second target pixel corresponding to the first pixelaccording to a location of the first reference pixel and the secondtarget pixel vector corresponding to the first pixel.
 13. The methodaccording to claim 1, wherein the performing color filling on thesubmalar triangle region comprises: determining a second reference pointin the face image; determining a vector that points from the submalartriangle center to the second reference point as a second referencevector; determining a third target pixel corresponding to each pixel inthe submalar triangle region according to the second reference vector,wherein direction of a vector that points from the third target pixel toits corresponding pixel is the same as that of the second referencevector; and updating a pixel value of each pixel to a pixel value of thethird target pixel corresponding to the pixel.
 14. The method accordingto claim 13, wherein the second reference point is positioned on a linethat connects the submalar triangle center and a key point of lowereyelid.
 15. The method according to claim 13, wherein the determining athird target pixel corresponding to each pixel in the submalar triangleregion according to the second reference vector comprises: determining asecond distance between the submalar triangle center and a second pixelin the submalar triangle region; determining a second coefficientaccording to a radius of a submalar triangle outer contour circle, thesecond distance, and a modulus of the second reference vector; anddetermining a third target pixel corresponding to the second pixelaccording to the second pixel, the second coefficient, and the secondreference vector.
 16. The method according to claim 15, wherein thedetermining a second coefficient according to the radius of the submalartriangle outer contour circle, the second distance, and a modulus of thesecond reference vector comprises: calculating a second differencebetween a square of the radius of the submalar triangle outer contourcircle and a square of the second distance; adding the second differenceand a square of the modulus of the second reference vector to obtain asecond sum; and calculating a ratio of the second difference to thesecond sum to obtain the second coefficient.
 17. The method according toclaim 15, wherein the determining a third target pixel corresponding tothe second pixel according to the second pixel, the second coefficient,and the second reference vector comprises: determining a vector thatpoints from a second reference pixel to the second pixel as a secondpixel vector; calculating a second product of the second coefficient andthe second reference vector; calculating the difference between thesecond pixel vector and the second product to obtain a third targetpixel vector corresponding to the second pixel; and determining thethird target pixel corresponding to the second pixel according to alocation of the second reference pixel and the third target pixel vectorcorresponding to the second pixel.
 18. The method according to claim 1,wherein the performing color filling on the submalar triangle regioncomprises: determining a first target pixel corresponding to each pixelin the submalar triangle region, wherein the first target pixelcorresponding to the pixel is positioned on a line that connects thesubmalar triangle center and the pixel; updating a pixel value of eachpixel to a pixel value of the corresponding first target pixelcorresponding to the pixel; determining a first reference point in theface image, wherein a distance between the first reference point and anose tip key point is greater than a distance between the submalartriangle center and the nose tip key point; determining a vector thatpoints from the submalar triangle center to the first reference point asa first reference vector; determining a second target pixelcorresponding to each pixel in the submalar triangle region according tothe first reference vector, wherein direction of a vector that pointsfrom the second target pixel to its corresponding pixel is the same asthat of the first reference vector; updating a pixel value of each pixelto a pixel value of the corresponding second target pixel; determining asecond reference point in the face image, wherein the second referencepoint is positioned on a line that connects the submalar triangle centerand a key point of lower eyelid; determining a vector that points fromthe submalar triangle center to the second reference point as a secondreference vector; determining a third target pixel corresponding to eachpixel in the submalar triangle region according to the second referencevector, wherein a direction of a vector that points from the thirdtarget pixel to its corresponding pixel is the same as that of thesecond reference vector; and updating a pixel value of each pixel to apixel value of the third target pixel corresponding to the pixel.
 19. Aface image processing apparatus, comprising: a processor; and a memoryfor storing instructions executable by the processor, wherein theprocessor is configured to: obtain face key points and a face deflectionangle in a face image; determine a submalar triangle center in the faceimage according to the face key points and the face deflection angle;determine a submalar triangle region in the face image according to theface key points and the submalar triangle center; and perform colorfilling on the submalar triangle region.
 20. A non-transitorycomputer-readable storage medium, having computer program instructionsstored thereon, wherein the computer program instructions, when beingexecuted by a processor, cause the processor to perform the operationsof: obtaining face key points and a face deflection angle in a faceimage; determining a submalar triangle center in the face imageaccording to the face key points and the face deflection angle;determining a submalar triangle region in the face image according tothe face key points and the submalar triangle center; and performingcolor filling on the submalar triangle region.